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In the role of Principal Partner Engineer, you will report to the Sr. Director, Partner Engineering. In this role, you will have the opportunity to lead projects that require close collaboration with other teams like Product, Engineering, Business Development, Program management, and Marketing.
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You will be a founding engineer, and part of a small, collaborative group working across product, design, actuarial science and engineering. Leverage your strong backend development skills using Python, Databricks and AWS, while working on ingestion and analysis of a high volume of complex medical claims data.
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You’ll also work closely with our broader Data Engineering and Data Science teams on Sales data pipelines and analyses. You have built data pipelines in dbt, Airflow, or a similar tool.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products.
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In addition, this position requires performance of a broad range of engineering functions related to designing and implementing hazardous contaminated soil excavations, clean back filling operations, overseeing/performing land surveying activities, hazardous building materials mitigation, and environmental mitigation during construction/demolition projects.
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Bring a system-oriented and software engineering mindset to the Data Engineering practice. Have at least four years of experience working with data and two years of experience in Software Engineering or a related field.
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Experience working with AWS infrastructure (Elastic Container Service, Terraform, Relational Data Store, etc.) Provision of anything you need to be successful - learning tools, hardware, office equipment, software.
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From real-time field data tracking to high-quality cartographic maps for environmental reporting to advanced remote sensing and image processing of drone data fed into interactive online applications―we implement practical and proven solutions to meet our end-users’ needs.
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As a Senior Antenna Engineer you will be responsible for the design, qualification, and procurement of antenna system components for ongoing production as well as R&D programs. (Full Time) Senior Antenna Engineer at Astranis (United States) | BEAMSTART Jobs.
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The team also is tasked with providing data engineering tooling that will cascade the effectiveness of the Core Data team to the rest of the data engineering organization.
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Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
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As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
$120,700 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong electrical engineering, analog circuit, and power electronics fundamentals. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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You have a solid foundation in computer science with strong competencies in data structures, algorithms, and software design. Our tech stack: We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Vertex AI, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
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software engineering developer engineer data processing jobs Title: engineer Company: Microsoft in San Francisco, CA
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